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» Discovering evolutionary theme patterns from text: an explor...
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SAC
2010
ACM
13 years 11 months ago
Mining temporal relationships among categories
Temporal text mining deals with discovering temporal patterns in text over a period of time. A Theme Evolution Graph (TEG) is used to visualize when new themes are created and how...
Saket S. R. Mengle, Nazli Goharian
ECAI
2010
Springer
13 years 2 months ago
From bursty patterns to bursty facts: The effectiveness of temporal text mining for news
Many document collections are by nature dynamic, evolving as the topics or events they describe change. The goal of temporal text mining is to discover bursty patterns and to ident...
Ilija Subasic, Bettina Berendt
KDD
2010
ACM
233views Data Mining» more  KDD 2010»
13 years 8 months ago
Evolutionary hierarchical dirichlet processes for multiple correlated time-varying corpora
Mining cluster evolution from multiple correlated time-varying text corpora is important in exploratory text analytics. In this paper, we propose an approach called evolutionary h...
Jianwen Zhang, Yangqiu Song, Changshui Zhang, Shix...
DAS
2008
Springer
13 years 6 months ago
Exploring Evolutionary Technical Trends from Academic Research Papers
Automatic Term Recognition (ATR) is concerned with discovering terminology in large volumes of text corpora. Technical terms are vital elements for understanding the techniques us...
Teng-Kai Fan, Chia-Hui Chang
WSDM
2009
ACM
136views Data Mining» more  WSDM 2009»
13 years 11 months ago
Mining common topics from multiple asynchronous text streams
Text streams are becoming more and more ubiquitous, in the forms of news feeds, weblog archives and so on, which result in a large volume of data. An effective way to explore the...
Xiang Wang 0002, Kai Zhang, Xiaoming Jin, Dou Shen